Prof Cathie Sudlow to lead as Director of ground-breaking new centre that will link cardiovascular health data to save and improve lives British Heart Foundation @BHFprofessional #BHFDataCentre bit.ly/2mHlsPF

"It is now more important than ever to also pursue non-amyloid-based therapies." From a tour de force, up to the moment review of #Alzheimers by Long and Holtzman Test Account Cell cell.com/cell/fulltext/… Cell Press

Congrats to @rheatanyy on this great work.

Pleased to share our manuscript on the role of haematological traits in risk of ischaemic stroke and its subtypes is now available online: academic.oup.com/brain/advance-… Cambridge Stroke Brain

Interesting paper showing high frequency of NOTCH3 cysteine changing mutations in the Taiwanese population, particularly in patients with cerebral small vessel disease

Excellent review on diabetes complications. Covers classic microvascular disorders and cardiovascular disease but also effects on cognition and mood. thelancet.com/journals/landi…

Out today in Nature Communications, our new paper from Elodie Persyn, Joanna Howson Matthew Traylor, Hugh Markus, Cambridge Stroke, which looks at MRI markers of cerebral small vessel disease in UK Biobank participants. nature.com/articles/s4146… Short version of what we did/found (1/8)

Persyn et al. perform genome-wide association studies for magnetic resonance imaging markers of cerebral small vessel disease , explore genetic correlations, and prioritise candidate genes: nature.com/articles/s4146… Dr Cathryn Lewis; Matthew Traylor; Elodie Persyn

New research looks at the relationships between genetic risk for #depression and various traits & the brain using UK Biobank For me, the most interesting finding is the causal effect of genetic risk for depression on white matter microstructure ☹️➡️🧠 doi.org/10.1038/s41467…

Genetic data from large cohorts of unrelated individuals can help predict individual risk of developing specific diseases. Buu Truong et al. show that smaller cohorts of related individuals can be a similarly powerful tool: nature.com/articles/s4146… XuanZhou Thuc Le S Hong Lee

Major kudos to reviewer 2 who put in a winking smiley face and ended with 'good luck'. Why can't every reviewer be like that?

It is out! Genome-Wide Association study of intracranial aneurysms. My first first-author paper, happy!! 😃🤓 More info will follow, but let me first do a *major shoutout to all collaborators* especially the ISGC @StrokeGenetics Nature Genetics nature.com/articles/s4158…

Our GWAS on lacunar stroke just out. Finally beginning to unravel genetics of this important disease with 12 loci. Collaboration of many in ⁦@StrokeGenetics⁩ funded by ⁦British Heart Foundation⁩ ⁦Cam Neuroscience⁩ ⁦CambridgeCardio⁩ ⁦Matthew Traylor⁩ thelancet.com/journals/laneu…

ONLINE FIRST: Matthew Traylor and colleagues report the results of their GWAS to identify novel associations and provide mechanistic insights into lacunar stroke thelancet.com/journals/laneu… Matthew Traylor Cambridge Stroke

Scientists have identified new genetic clues in people who’ve had ‘silent’ strokes that are difficult to treat and a major cause of vascular dementia bit.ly/3d8dyFk

Exciting job opportunity to join our team working at the Genetics Department Novo Nordisk using human genetics to help identify and validate drug targets 🧐novonordisk.com/content/nncorp… - please get in touch with Joanna Howson with any questions

In a genome-wide study of DTI metrics, Traylor et al. reveal an association between white matter microstructural integrity and a common structural haplotype variant of complement component 4 called C4-BS. bit.ly/3yFzNMb

I am looking for an in silico human #genetics scientist to join us at #Novonordisk research centre Oxford. If you are excited to bring your expertise to advance drug discovery in cardio metabolic disease, come join our fantastic team: tinyurl.com/4v4jrp5e

Our pre-print describing the UK Biobank Pharma Proteomics Project (UKB-PPP) is now online! biorxiv.org/content/10.110… We identify 10k+ genetic associations w/ protein concentrations; 85% are new. The data should help drive discovery of new biomarkers, diagnostics & medicines.